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Finantic AI

Senior Backend Engineer

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Description

Responsibilities:

  • Design and build scalable, resilient backend systems from the ground up for an AI-native finance and accounting automation platform.
  • Architect data models for complex CRE finance workflows (AP, AR, lease accounting, multi-entity reconciliation).
  • Build high-performance APIs and microservices using Python/Go with event-driven architectures.
  • Design and optimize PostgreSQL/MongoDB schemas for financial data at scale.
  • Build integrations with accounting systems (Yardi, NetSuite, MRI, QuickBooks, JD Edwards).
  • Integrate LLM APIs and build orchestration layers for multi-agent workflows (LangGraph, CrewAI).
  • Design human-in-the-loop workflows, exception handling systems, and accuracy monitoring pipelines.
  • Own end-to-end technical architecture decisions and make critical build vs. buy choices.
  • Work closely with AI engineers to productionize ML models and implement continuous learning pipelines.


Requirements:

  • 3-6 years of backend engineering experience building production systems at scale.
  • B. E. /B. Tech or M. E. /M. Tech/M. S. degree in Computer Science or equivalent from a top-tier engineering college.
  • Proficiency in Python, Go, Node.js, or Java with a proven track record of building 0-to-1 products.
  • Deep database experience: PostgreSQL, MySQL, MongoDB - schema design, query optimization, indexing.
  • Cloud-native development experience: AWS/GCP/Azure, containerization (Docker/K8s), CI/CD pipelines.
  • Can design scalable distributed systems and microservices architectures.
  • Strong experience in API design - RESTful APIs, GraphQL, and event-driven architectures.
  • Self-motivated and autonomous - high ownership, product thinking, clear communicator.
  • Fast learner with startup DNA - thrive in ambiguity, move fast, and iterate based on feedback.
  • Experience building AI/ML products (LLM integrations, RAG systems, agentic workflows).
  • Experience with multi-tenant B2B SaaS platforms and financial systems.
  • Prefer those who have built products from scratch that scaled as an early team member or a founder.
  • Good to have experience with finance and accounting workflows, ERP integrations, or compliance systems (ASC 842 IFRS 16).

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